GIS BASED GEOSTATISTICAL ANALYSIS of FRACTURE DENSITY of GRANITE ROCK in BEISHan AREA GANSU PROVINCE

WANG Peng; LI Xiaozhao; ZHANG Yangsong; ZHAO Xiaobao; ZHOU Yangyi; FU Anxue; WU Wenbo

Volume 21 Issue 1

Feb. 2013

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Article Navigation > JOURNAL OF ENGINEERING GEOLOGY > 2013 > 21(1): 115-122

WANG Peng, LI Xiaozhao, ZHANG Yangsong, ZHAO Xiaobao, ZHOU Yangyi, FU Anxue, WU Wenbo. 2013: GIS BASED GEOSTATISTICAL ANALYSIS of FRACTURE DENSITY of GRANITE ROCK in BEISHan AREA GANSU PROVINCE. JOURNAL OF ENGINEERING GEOLOGY, 21(1): 115-122.

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GIS BASED GEOSTATISTICAL ANALYSIS of FRACTURE DENSITY of GRANITE ROCK in BEISHan AREA GANSU PROVINCE

1.
School of Earth Sciences and Engineering, Nanjing University, Nanjing 210093;
2.
Department of Civil Engineering, Nanjing University of Science and Technology, Nanjing 210094

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Received Date: 2012-02-28
Rev Recd Date: 2012-11-10
Publish Date: 2013-02-25

Abstract

Abstract

Geometrical parameters of fractures such as joints in natural rocks are important parameters in fluid dynamics of fracture systems, and are also mainly considered factors for the stability analysis of large-scale projects during construction. Therefore, the importance of these parameters has been fully recognized by engineering scientists. The Jijicao block of the Beishan area in Gansu province is chosen as the studied area in this paper. It is a candidate area for high level waste repository in China. The paper chooses the rock mass fracture system of the granite in Jijicao block as the study object. The trace lengths of fracture system are measured by GPS-RTK technique in detail. The occurrence of the bedrock outcrop fractures is surveyed with compass. Then the ArcGIS software is used in the data statistics and calculation and also applied to studying fracture density in the granite area in the Jijicao block. Finally, geostatistical analysis is used to study the spatial autocorrelation and variability of fracture density. By this way the spatial distribution characteristics of fracture can be recognized.The research results indicate that the fracture density has a strong spatial autocorrelation. Variogram analysis demonstrates that P21 values become antocorrelated at a step of about 20～30m. The difference between the ranges of NS and EW demonstrates that there is heterogeneity in the spatial distribution of fractures. At last the prediction map of P21 value is obtained with the method of ordinary kringing interpolation method.
- Fracture density P21,
- Spatial variability,
- Geostatistical analysis,
- Semivariogram,
- Kriging interpolation

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References

[1] 王驹, 范显华,徐国庆,等.中国高放废物地质处置十年进展[M].北京:原子能出版社, 2004.

Wang Ju, Fan Xianhua, Xu Guoqing,et al. The Decade Progress of High Level Radioactive Waste Disposal in China. Beijing: Atomic Energy Press, 2004.

[2] Priest SD,Hudson J.Discontinuity spacing in rock. Int. J.Rock Mech.Min. Sci. ,1976, 13:135～148.

[3] Kulatilake PHSW,Wu TH.Estimation of mean trace length of discontinuities. Rock Mech. Rock Eng. ,1984, 17:215～232.

[4] Dershowitz WS,Einstein HH.Characterizing rock joint geometry with joint system models. Rock Mech. Rock Eng. ,1988, 21:21～51.

[5] Chile's JP.Fractal and geostatistical methods for modelling of a fracture network.Math. Geol. ,1987, 20:631～654.

[6] Ayalew L,Reik G,Busch W.Characterizing weathered rock masses-A geostatistical approach. Int. J.Rock Mech.Min. Sci. ,2002, 39:105～114.

[7] Rafiee, M.Vinches. Application of geostatistical characteristics of rock mass fracture systems in 3D model generation.International Journal of Rock Mechanics & Mining Sciences, 2008, 45:644～652.

[8] 张仁铎. 空间变异理论及应用[M].北京:科学出版社, 2005.

Zhang Renduo. Spatial Variability Theory and Applications. Beijing: Science Press, 2005.

[9] 徐建华. 现代地理学中的数学方法(第二版)[M].北京:高等教育出版社, 2002.

Xu Jianhua. Mathematical Methods in Modern Geography(second edition).Beijing: Higher Education Press, 2002.

[10] 杨继红, 刘汉东,等.考虑土性参数空间变异性的边坡可靠度分析[J].工程地质学报, 2007, 15 (2): 205～211.

Yang Jihong, Liu Handong, et al. Reliability analysis of slope stability taking into consideration of spatial variability of soil parameters. Journal of Engineering Geology, 2007, 15 (2): 205～211.

[11] 张先伟, 孔令伟,郭爱国,拓勇飞.湛江强结构性黏土的物理力学性质指标及相关性分析[J].工程地质学报, 2011, 19 (4): 447～454.

Zhang Xianwei, Kong Lingwei, Guo Aiguo, Tuo Yongfei. Physical and mechanical indexes and correlation analysis of clay with noticeble structures in Zhanjiang area. Journal of Engineering Geology, 2011, 19 (4): 447～454.

[12] 王华敬, 胡应德,吴光先.固结系数的空间变异性对一维固结的影响分析[J].工程地质学报, 2006, 14 (5): 627～631.

Wang Huajing, Hu Yingde, Wu Guangxian. Influence of the spatial variability of the coefficient of consolidation on the one-dimensional consolidation of soft soils. Journal of Engineering Geology, 2006, 14 (5): 627～631.

[13] 卢永森.GPS-RTK在地质测绘应用与探讨[J].现代测绘, 2010, 33 (3): 31～33.

Lu Yongsen. Application and discussion about GPS-Ptk in geological mapping. Modern Surveying and Mapping, 2010, 33 (3): 31～33.

[14] 汤国安, 杨昕.ArcGIS地理信息系统空间分析实验教程[M].北京:科学出版社, 2006.

Tang Guo'an, Yang Xin. The ArcGIS Experimental Course of Spatial Analysis about Geographic Information System. Beijing: Science Press, 2006.

[15] Dershowitz William,Herda Hans H.Interpretation of fracture spacing and intensity. U.S.Symposium on Rock Mechanics.1992,757.

[16] 李晓昭, 周扬一,等.测量统计范围大小对结构面迹长估计的影响[J].岩石力学与工程学报, 2011, 30 (10): 2049～2056.

Li Xiaozhao, Zhou Yangyi, et al. Effects of measurement range on estimation of trace length of discontinuities. Chinese Journal of Rock Mechanics and Engineering, 2011, 30 (10): 2049～2056.

[17] Esri Support Center.How Spatial Autocorrelation: Moran's I(Spatial Statistics) works.2009, 1.http: //webhelp.esri.com/arcgisdesktop/9.3/index.cfm？TopicName=How%20Spatial%20Autocorrelation: %20Moran's%20I%20(Spatial%20Statistics)%20works.

[18] Dae S.Young, Steven F.Hoerger.岩体裂隙的空间变化性和地质统计学模型[J].地质科技情报, 1988, 7 (1): 110～115.

Dae S.Young, Steven F.Hoerger. The spatial variation and geostatistical model of rock fracture. Geological Science and Technology Information, 1988, 7 (1): 110～115.

[19] Raymond Munier, Svensk Kärnbränslehantering AB.Statistical Analysis of Fracture Data, Adapted for Modelling Discrete Fracture Networks-Version 2.SKB R-04-66, 2004, 8:20～47.

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